Abstract
A functional law of the iterated logarithm (LIL) and its corresponding LIL are established for a multiclass single-server queue with first come first served (FCFS) service discipline. The functional LIL and its LIL quantify the magnitude of asymptotic stochastic fluctuations of the stochastic processes compensated by their deterministic fluid limits. The functional LIL and LIL are established in three cases: underloaded, critically loaded and overloaded, for performance measures including the total workload, idle time, queue length, workload, busy time, departure and sojourn time processes. The proofs of the functional LIL and LIL are based on a strong approximation approach, which approximates discrete performance processes with reflected Brownian motions. Numerical examples are considered to provide insights on these limit results.
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Acknowledgements
The authors thank the editor and the anonymous reviewer for their guidance and constructive comments. The first author is supported by the National Nature Science Foundation of China under Grant Nos. 11871116 and 11971074 and the Fundamental Research Funds for the Central Universities of China under Grant No. 2019XD-A11.
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Guo, Y., Hou, X. & Liu, Y. A functional law of the iterated logarithm for multi-class queues with batch arrivals. Ann Oper Res 300, 51–77 (2021). https://doi.org/10.1007/s10479-020-03864-6
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DOI: https://doi.org/10.1007/s10479-020-03864-6
Keywords
- Functional law of the iterated logarithm
- Law of the iterated logarithm
- Multi-class queue
- First come first served service discipline
- Strong approximation